python - 如何摆脱 Choropleth 的白色背景？

Question

我正在使用 Potly Dashboard 构建仪表板。我使用的是深色引导主题，因此我不想要白色背景。

但是，我的地图现在看起来像这样：

生成它的代码如下所示：

trace_map = html.Div(
    [
        dcc.Graph(
            id = "map",
            figure = go.Figure(
                data=go.Choropleth(
                locations=code, # Spatial coordinates
                z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )
        )
    ]
)

我已经尝试过paper_bgcolor，plot_bgcolor但无法使其工作。

理想情况下，我想实现此图像的外观（请忽略红点）：

标签： pythondictionaryplotly

Answer 1

一般来说：

fig.update_layout(geo=dict(bgcolor= 'rgba(0,0,0,0)'))

在您的具体示例中：

go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)')

阴谋：

代码：

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

你可能也想改变湖泊的颜色。但请注意，设置lakecolor = 'rgba(0,0,0,0)'将使湖泊与各州的颜色相同，而不是背景。所以我会去lakecolor='#4E5D6C'。你当然可以用 做同样的事情bgcolor，但是将它设置为摆脱'rgba(0,0,0,0)'你特别要求的白色。

湖色图：

湖色代码：

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()

subunitcolor我们也可以更改状态边界颜色，或者在这种情况下更神秘地称为。为了更好地匹配您想要的最终结果，我们还可以为土地颜色增添趣味：

国家边界和国家颜色，情节：

状态边界和状态颜色，代码：

import plotly.graph_objects as go

fig  = go.Figure(
                data=go.Choropleth(
                #locations=code, # Spatial coordinates
                #z = df.groupby(['month']).sum()['Sales'].astype(int), 
                locationmode = 'USA-states',
                colorscale = 'Reds',
                colorbar_title = "USD",
            ), layout = go.Layout(geo=dict(bgcolor= 'rgba(0,0,0,0)', lakecolor='#4E5D6C',
                                          landcolor='rgba(51,17,0,0.2)',
                                          subunitcolor='grey'),
                                  title = 'The Cities Sold the Most Product',
                                  font = {"size": 9, "color":"White"},
                                  titlefont = {"size": 15, "color":"White"},
                                  geo_scope='usa',
                                  margin={"r":0,"t":40,"l":0,"b":0},
                                  paper_bgcolor='#4E5D6C',
                                  plot_bgcolor='#4E5D6C',
                                  )
            )

fig.show()